Analyzing and Predicting Stock Market Using Data Mining Techniques – A Review

Analyzing and Predicting Stock Market Using Data Mining Techniques – A Review
Author(s):
Suraj Baviskar, Nitin Namdev
Keywords:
Data Mining, Stock data analysis, SMA, EMA, MACD, RSI, MFI, PVT.
Abstract
Stock market is generating enormous amount of valuable trading data. This paper presents a review on various data mining techniques applied to stock trading data to analyze and predict stock trend, outline of proposed model for stock prediction system based on technical, fundamental and external environmental factors. This paper focus on understanding stock market related information for investors and analyze National Stock Exchange data to predict stock future movements. Review on Technical indicators, price based and volume based, which are widely used to analyze stock data. Stock analyst, investors and stock brokers are trying to analyze stock trading data to predict future movement of stocks. Data mining is used to extract meaningful previously unknown rules and hidden patterns in data.
Article Details
Unique Paper ID: 142567 Publication Volume & Issue: Volume 2, Issue 3 Page(s): 130 - 135
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org